
Data Architecture Specialist
15 hours ago
Synergy exists between creativity and innovative technology to deliver leading-edge digital solutions. We seek a seasoned professional with expertise in digital channel activities, data engineering, and cloud technologies, particularly AWS.
The ideal candidate will possess strong knowledge of AWS, Python, and work experience in handling data from various sources such as Hadoop, Terradata, working on large-scale data engineering solutions for data, and knowledge of data processing architecture.
Key Responsibilities:- Design, build, and maintain robust data pipelines for processing channel activity data, focusing on digital channels and integrating multiple sources of data such as Hadoop and Terradata.
- Work on AWS cloud infrastructure (including services like Pyspark, Glue, EMR, lambda, Redshift, Athena, and other services like Iceberg) and orchestration tools like Airflow to ensure high availability, scalability, and performance.
- Leverage Python for building automated data engineering solutions and data transformations.
- Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed.
- Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
- Ensure data quality, governance, and integrity across all data systems.
- Engage in continuous learning and adapting of new technologies and industry best practices to improve data processes.
- Experience with Data Engineering: Proven experience working as a Data Engineer in greenfield environments.
- AWS: Strong hands-on experience with AWS technologies.
- Python: Proficiency in Python for data processing, automation, and pipeline development.
- Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
- Strong Analytical Skills: Ability to analyse and interpret data from different digital channels.
- Collaboration: Ability to work closely with cross-functional teams.
- Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges.
- Communication: Excellent communication skills, both written and verbal.
- A degree in Computer Science or related field.
- Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
- Experience in working on snowflake would be good to have.
- Knowledge of ingesting real-time data would be an advantage.
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